Description

You will design and implement scalable, secure, and efficient data solutions on Azure Cloud.

Responsibilities

• Design and develop end-to-end data architecture on Azure Cloud, covering ingestion, storage, processing, and analytics.
• Lead the deployment of Databricks environments and integrate them with other Azure services.
• Collaborate with stakeholders to gather requirements and translate them into architectural designs.
• Ensure data security, privacy, and compliance standards are met within the architecture.
• Optimize data workflows and pipelines for performance and cost-efficiency.

Required Skills

• 5+ years of experience designing and implementing data architectures on Azure Cloud.
• Deep understanding of Databricks platform and its integration with Azure services.
• Strong knowledge of data warehousing, data lakes, and real-time streaming solutions.
• Proficiency in SQL, Python, Scala, or Spark.
• Experience with Azure Data Factory, Azure Data Lake, Azure SQL, and Azure Synapse Analytics.
• Solid understanding of security, governance, and compliance in cloud data solutions.
• Experience with AWS or GCP is required.

Key Skills

Education

Any Gradute